Evidence map›Paper›PMID 36247753›Full record

ArticleFrontiers in neurology2022

Differences in treatment for Alzheimer's disease between urban and rural areas in China.

Bei Li, Dejun Liu, Qiaoqin Wan, Can Sheng, Xiting Wang, Fangda Leng, Qing Peng, Ting Wang, Ailian Du, Feiqi Zhu and 6 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Bei LiDepartment of Neurology, Peking University First Hospital, Peking University, Beijing, China.
Dejun LiuHealth Division of Guard Bureau, General Office of CPC Central Committee, Beijing, China.
Qiaoqin WanSchool of Nursing, Peking University, Beijing, China.
Can ShengDepartment of Geriatrics, Peking University First Hospital, Beijing, China.
Xiting WangDepartment of Geriatrics, Peking University First Hospital, Beijing, China.
Fangda LengDepartment of Neurology, Peking University First Hospital, Peking University, Beijing, China.
Qing PengDepartment of Neurology, Peking University First Hospital, Peking University, Beijing, China.
Ting WangDepartment of Neurology, Peking University First Hospital, Peking University, Beijing, China.
Ailian DuDepartment of Neurology, Shanghai Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Feiqi ZhuDepartment of Neurology, Shenzhen Luohu People's Hospital, Shenzhen, China.
Dunzhu MimaDepartment of Neurology, People's Hospital of Tibet Autonomous Region, Lhasa, China.
Huali WangDepartment of Psychiatry, Peking University Sixth Hospital, Peking University, Beijing, China.
Hengge XieDepartment of Neurology, Second Medical Center of Chinese PLA General Hospital, Beijing, China.
Zhaoxia WangDepartment of Neurology, Peking University First Hospital, Peking University, Beijing, China.
Haiqiang JinDepartment of Neurology, Peking University First Hospital, Peking University, Beijing, China.
Yongan SunDepartment of Neurology, Peking University First Hospital, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In China, the increasing number of people with Alzheimer's disease (AD) poses a great challenge to families and the country. Economic and cultural differences cause a urban-rural gap in medical resources. This multicenter survey aimed to investigate the real-world practice of disease treatment among people with AD. Methods: People with AD and their caregivers from 30 provincial regions in mainland China were enrolled from October 2020 to December 2020 to be surveyed for their treatment experience. Logistic regression was used to explore the factors that influence medication adherence in all areas, urban areas, and rural areas. Results: In this survey, 1,427 participants came from urban areas, and 539 participants came from rural areas. Patients in urban areas were older (mean age 74 vs. 70, Conclusion: Although national progress has been made in the public awareness of disease treatment, adequate diagnosis and medication adherence need to be prompted, especially in rural areas. Furthermore, lifelong treatment should be improved based on regional characteristics through the joint efforts of the government, health workers, and social volunteers.

Indexed as

Alzheimer'sdementiamedication adherenceregional differencetreatment

Identifiers

PMID36247753
PMCPMC9556779

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.